Selection‐based Design of in silico Dengue Epitope Ensemble Vaccines

Murphy, David, Reche, Pedro and Flower, Darren R (2018). Selection‐based Design of in silico Dengue Epitope Ensemble Vaccines. Chemical Biology and Drug Design ,

Abstract

Dengue virus affects approximately 130 countries. 25% of infections result in febrile, self‐limiting illness; heterotypic infection results in potentially fatal Dengue Haemorrhagic Fever or Dengue Shock Syndrome. Only one vaccine is currently available. Its efficacy is very variable. Thus, to target Dengue, we used an innovative immunoinformatic protocol to design a putative epitope ensemble vaccine by selecting an optimal set of highly‐conserved epitopes with experimentally‐verified immunogenicity. From 1597 CD4+ and MHC II epitopes, 6 MHC Class I epitopes (RAVHADMGYW, GPWHLGKLEM, GLYGNGVVTK, NMIIMDEAHF, KTWAYHGSY, WAYHGSYEV) and 9 MHC Class II epitopes (LAKAIFKLTYQNKVV, GKIVGLYGNGVVTTS, AAIFMTATPPGSVEA, AAIFMTATPPGTADA, GKTVWFVPSIKAGND, KFWNTTIAVSMANIF, RAIWYMWLGARYLEF, VGTYGLNTFTNMEVQ, WTLMYFHRRDLRLAA) were selected; this candidate vaccine achieved a world population coverage of 92.49%.

Publication DOI: https://doi.org/10.1111/cbdd.13357
Divisions: Life & Health Sciences > Pharmacy
Life & Health Sciences
Life & Health Sciences > Chronic and Communicable Conditions
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.© 2018 The Authors.
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Related URLs: https://onlinel ... 1111/cbdd.13357 (Publisher URL)
Published Online Date: 2018-11-25
Authors: Murphy, David
Reche, Pedro
Flower, Darren R ( 0000-0002-8542-7067)

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